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Journal articles on the topic 'Digital signal processing; Matrix algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Kurganov, Vladislav V., and Victor I. Djigan. "Digital antenna array calibration by adaptive algorithms of signal processing." Telecommunications, no. 2 (2021): 8–16. http://dx.doi.org/10.31044/1684-2588-2021-0-2-8-1.

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A method of antenna array calibration, based on the using of the recursive least squares (RLS) adaptive filtering algorithms is discussed. The matrix inversion lemma, the QR-decomposition and the Householder transform based RLS algorithms with quadratic computational complexity can be used for the method implementation in the narrowband adaptive arrays. The proposed calibration method is used in the antenna arrays with digital beam forming. The method demonstrates the ability to estimate and compensate the channel gain errors that ensures the average deviation of the calibrated array radiation

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Karutin, Sergey N., Vladimir N. Kharisov, and Vasiliy S. Pavlov. "Synthesis of interference resistant spatiotemporal filter for navigation parameters high precision measurements using global navigation satellite systems." Izmeritel`naya Tekhnika, no. 6 (2020): 52–60. http://dx.doi.org/10.32446/0368-1025it.2020-6-52-60.

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The article considers problems of modern global navigation satellite systems high-precision user terminals performance in jamming and spoofing environment. The solution to the low interference resistance problem is the use of digital antenna arrays with spatiotemporal signal processing algorithms. The well-known, most studied and brought to practice algorithms for the spatiotemporal signal processing are described, reasons that do not allow the use of these algorithms in global navigation satellite systems high-precision user terminals are given. This article proposes a spatiotemporal signal p

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Zhang, Yu Xi, Wen Gui Fan, and Jin Ping Sun. "Compressed Sensing Based Neural Signal Processing and Performance Analysis." Applied Mechanics and Materials 513-517 (February 2014): 1595–99. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1595.

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Measurement of neural signal provides important value for study of brain function and the pathogenesis of neurological. With emerging extensive research of electrical activity, more and more neural signal need to be collected, transmitted and stored, making the compression processing of neural signal become important part of digital signal processing. In recent years, ASIC-based wireless neural signal acquisition system has been developed rapidly, encountered strict restrictions on power consumption which is dominant determined by the data rate and complexity of algorithm. In order to reduce p

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Hosny, Khalid M., Sara T. Kamal, Mohamed M. Darwish, and George A. Papakostas. "New Image Encryption Algorithm Using Hyperchaotic System and Fibonacci Q-Matrix." Electronics 10, no. 9 (2021): 1066. http://dx.doi.org/10.3390/electronics10091066.

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In the age of Information Technology, the day-life required transmitting millions of images between users. Securing these images is essential. Digital image encryption is a well-known technique used in securing image content. In image encryption techniques, digital images are converted into noise images using secret keys, where restoring them to their originals required the same keys. Most image encryption techniques depend on two steps: confusion and diffusion. In this work, a new algorithm presented for image encryption using a hyperchaotic system and Fibonacci Q-matrix. The original image i

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Bondarev, Vladimir. "Blind signal deconvolution based on pulsed neuron model." ITM Web of Conferences 30 (2019): 04011. http://dx.doi.org/10.1051/itmconf/20193004011.

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In this paper, we consider the vector-matrix model of a pulsed neuron, focused on solving problems of digital signal processing. We extend the application domain of the model to the blind signal deconvolution problem. To achieve this goal we propose an unsupervised learning algorithm, which maximizes the absolute value of the normalized kurtosis of the output signal of the deconvolution filter using vector-matrix model of a pulsed neuron. To show the validity of the proposed learning algorithm, some examples of deconvolution of speech signals distorted by reverberation are presented.

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Bramburger, Stefan, Benny Zinke, and Dirk Killat. "Interpolation algorithm for asynchronous ADC-data." Advances in Radio Science 15 (September 21, 2017): 163–68. http://dx.doi.org/10.5194/ars-15-163-2017.

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Abstract. This paper presents a modified interpolation algorithm for signals with variable data rate from asynchronous ADCs. The Adaptive weights Conjugate gradient Toeplitz matrix (ACT) algorithm is extended to operate with a continuous data stream. An additional preprocessing of data with constant and linear sections and a weighted overlap of step-by-step into spectral domain transformed signals improve the reconstruction of the asycnhronous ADC signal. The interpolation method can be used if asynchronous ADC data is fed into synchronous digital signal processing.

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Li, Yong. "An Improved Parallel FFT Algorithm Based on the GPU." Advanced Materials Research 647 (January 2013): 880–84. http://dx.doi.org/10.4028/www.scientific.net/amr.647.880.

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With the extensive applications of FFT in digital signal processing and image signal processing which needs a extensive application of large-scale computing, it become more and more important to improve parallelism, especially efficient and scalable parallel of FFT algorithm. This paper improves the parallelism of the FFT algorithm based on the Six-Step FFT algorithm. The introduction of GPU to parallel computing is to realize parallel FFT computing in a single machine and to improve the speed of Frontier transform. With the optimization strategy of the mapping hiding the transport matrix, the

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LIN, ROBERT, REN-GUEY LEE, CHWAN-LU TSENG, YAN-FA WU, and JOE-AIR JIANG. "DESIGN AND IMPLEMENTATION OF WIRELESS MULTI-CHANNEL EEG RECORDING SYSTEM AND STUDY OF EEG CLUSTERING METHOD." Biomedical Engineering: Applications, Basis and Communications 18, no. 06 (2006): 276–83. http://dx.doi.org/10.4015/s1016237206000427.

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A multi-channel wireless EEG (electroencephalogram) acquisition and recording system is developed in this work. The system includes an EEG sensing and transmission unit and a digital processing circuit. The former is composed of pre-amplifiers, filters, and gain amplifiers. The kernel of the later digital processing circuit is a micro-controller unit (MCU, TI-MSP430), which is utilized to convert the EEG signals into digital signals and fulfill the digital filtering. By means of Bluetooth communication module, the digitized signals are sent to the back-end such as PC or PDA. Thus, the patient'

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Bondarev, V. "Training a digital model of a deep spiking neural network using backpropagation." E3S Web of Conferences 224 (2020): 01026. http://dx.doi.org/10.1051/e3sconf/202022401026.

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Deep spiking neural networks are one of the promising eventbased sensor signal processing concepts. However, the practical application of such networks is difficult with standard deep neural network training packages. In this paper, we propose a vector-matrix description of a spike neural network that allows us to adapt the traditional backpropagation algorithm for signals represented as spike time sequences. We represent spike sequences as binary vectors. This enables us to derive expressions for the forward propagation of spikes and the corresponding spike training algorithm based on the bac

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A. AL-Hussain, Ali Mohammad, and Maher Khudair Mahmood Al Azawi. "Spectrum sensing of wideband signals based on cyclostationary and compressive sensing." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1361. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1361-1368.

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Compressive sensing is a powerful technique used to overcome the problem of high sampling rate when dealing with wideband signal spectrum sensing which leads to high speed analogue to digital convertor (ADC) accompanied with large hardware complexity, high processing time, long duration of signal spectrum acquisition and high consumption power. Cyclostationary based detection with compressive technique will be studied and discussed in this paper. To perform the compressive sensing technique, Discrete Cosine Transform (DCT) is used as sparse representation basis of received signal and Gaussian

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Jin, Lin, and Qiu Lei Du. "The Systematic Study of Music Spectrum Display Based on FFT." Advanced Materials Research 945-949 (June 2014): 1764–67. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1764.

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Spectrum analysis is the superposition signal intodifferent frequency component and the imaginary indexcomponent, the analysis of signal from the frequency point of view. It is widely used in voice processing, image processing, digital audio, seismic exploration. The FFT algorithm, provides an effective solution forreal-time processing of frequency domain analysis. Music display system based on FFT spectrum, the main work is as follows:First, the fast Fourier transform ideas a brief description, and combined with the specific hardware and software implementations of the algorithm of the system

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Jin, Lin, and Qiang Liu. "Music Spectrum Display System Based on MCU." Advanced Materials Research 852 (January 2014): 353–56. http://dx.doi.org/10.4028/www.scientific.net/amr.852.353.

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Analysis of signal from the frequency analysis of spectrum, which is widely used in voice processing, image processing, digital audio, seismic exploration. With the FFT algorithm, provides an effective solution for real-time processing of frequency domain analysis. Based on STC12C5A60S2 microcontroller to complete realization of music spectrum display system development, which introduces the STC12C5A60S2 chip, 32*64LED dot matrix display principle, 74LS595 and 74LS164 chip using the method. On this basis, the completion of the system's hardware and software design, implementation STC12C5A60S2

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Zheng, Zuo Yong, and Rui Xia Zhang. "A Fast GPU Algorithm for the Inverse of a Circulant Matrix." Applied Mechanics and Materials 121-126 (October 2011): 3755–59. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3755.

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Circulant matrix is a special case of Toeplitz matrix, which is widely used in many domains of specialization, especially in image and digital signal processing. Calculating the inverse of this category of matrices consists of the following three steps: (1) transform the first row vector to frequency space by using DFT; (2) calculate the inverse of each amplitude in the spectrum; (3) apply IDFT to the adjusted spectrum and reconstruct the inverse of the original circulant matrix. This paper implements such a fast algorithm on the GPU, which is proved around five to ten times faster than is exe

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Quan, Yinghui, Yachao Li, Xiaoxiao Gao, and Mengdao Xing. "FPGA Implementation of Real-Time Compressive Sensing with Partial Fourier Dictionary." International Journal of Antennas and Propagation 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/1671687.

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This paper presents a novel real-time compressive sensing (CS) reconstruction which employs high density field-programmable gate array (FPGA) for hardware acceleration. Traditionally, CS can be implemented using a high-level computer language in a personal computer (PC) or multicore platforms, such as graphics processing units (GPUs) and Digital Signal Processors (DSPs). However, reconstruction algorithms are computing demanding and software implementation of these algorithms is extremely slow and power consuming. In this paper, the orthogonal matching pursuit (OMP) algorithm is refined to sol

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Vázquez-Castillo, Javier, Alejandro Castillo-Atoche, Roberto Carrasco-Alvarez, Omar Longoria-Gandara, and Jaime Ortegón-Aguilar. "FPGA-Based Hardware Matrix Inversion Architecture Using Hybrid Piecewise Polynomial Approximation Systolic Cells." Electronics 9, no. 1 (2020): 182. http://dx.doi.org/10.3390/electronics9010182.

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The hardware of the matrix inversion architecture using QR decomposition with Givens Rotations (GR) and a back substitution (BS) block is required for many signal processing algorithms. However, the hardware of the GR algorithm requires the implementation of complex operations, such as the reciprocal square root (RSR), which is typically implemented using LookUp Table (LUT) and COordinate Rotation DIgital Computer (CORDICs), among others, conveying to either high-area consumption or low throughput. This paper introduces an Field-Programmable Gate Array (FPGA)-based full matrix inversion archit

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Bobrovskiy, A. "Theoretical Foundations Development of Space Adaptive Video Information Systems Synthesis." Proceedings of Telecommunication Universities 7, no. 2 (2021): 69–78. http://dx.doi.org/10.31854/1813-324x-2021-7-2-69-78.

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The main provisions and principles of the synthesis of adaptive video information systems designed for recording and analyzing images of dynamic scenes at the stages of long-range detection of artificial space objects, ballistic and controlled approach to them in the middle and near zone of cooperation are considered. Based on the principle of dominant information, it is shown that the basis for the development of methods and algorithms for processing video information in on-board surveillance systems is the joint adaptive processing of video information in photo-detector matrices and in digit

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Wang, Xi, Taizheng Chen, Dongwei Li, and Shiqi Yu. "Processing Methods for Digital Image Data Based on the Geographic Information System." Complexity 2021 (June 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/2319314.

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Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. Geographic information system (GIS) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distributi

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Xie, Chuyang, Xiguang Gao, Huajun Zhang, and Yingdong Song. "Multiscale acoustic emission of C/SiC mini-composites and damage identification using pattern recognition." Science and Engineering of Composite Materials 27, no. 1 (2020): 148–62. http://dx.doi.org/10.1515/secm-2020-0015.

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AbstractIn this paper, multiscale acoustic emission (AE) signal analysis was applied to acoustic emission data processing to classify the AE signals produced during the tensile process of C/SiC mini-composites. An established unsupervised clustering algorithm was provided to classify an unknown set of AE data into reasonable classes. In order to correctly match the obtained classes of the AE signals with the damage mode of the sample, three scales of materials were involved. Single fiber tensile test and fiber bundle tensile test were firstly performed to achieve the characteristics of AE sign

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Schoonderbeek, Gijs, Boudewijn Hut, E. Kooistra, et al. "Implementation of a Correlator onto a Hardware Beam-Former to Calculate Beam-Weights." Journal of Astronomical Instrumentation 09, no. 02 (2020): 2050007. http://dx.doi.org/10.1142/s2251171720500075.

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One of the main technologies to open up a wider field of view for today’s radio telescopes are phased arrays. This is especially the case for radio astronomy instruments operating below 2[Formula: see text]GHz. Nowadays, the existing dish-type instruments are being upgraded with phased array feeds (PAF) in the focal plane. This increases the field of view at the expense of needing more analog electronics and digital signal processing. One of the digital signal processing functionalities used to combine the digitized signals from the PAF is a beam-former which creates multiple high sensitivity

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Zhang, Cui, Xu, and Lu. "A Two-Stage Interference Suppression Scheme Based on Antenna Array for GNSS Jamming and Spoofing." Sensors 19, no. 18 (2019): 3870. http://dx.doi.org/10.3390/s19183870.

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Jamming and spoofing are the two main types of intentional interference for global navigation satellite system (GNSS) receivers. Due to the entirely different signal characteristics they have, a few techniques can deal with them simultaneously. This paper proposes a two-stage interference suppression scheme based on antenna arrays, which can detect and mitigate jamming and spoofing before the despreading of GNSS receivers. First, a subspace projection was adopted to eliminate the high-power jamming signals. The output signal is still a multi-dimensional vector so that the spatial processing te

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Hemis, Mustapha, Bachir Boudraa, and Thouraya Merazi-Meksen. "New secure and robust audio watermarking algorithm based on QR factorization in wavelet domain." International Journal of Wavelets, Multiresolution and Information Processing 13, no. 03 (2015): 1550020. http://dx.doi.org/10.1142/s0219691315500204.

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Digital watermarking consists in embedding imperceptible information into a host signal. It has been proposed to solve problems as varied as the protection of the copyright, content authentication, fingerprinting and broadcast monitoring. This paper presents a new approach for audio watermarking using the QR factorization in wavelet domain. This approach is based on embedding a watermark binary image in the R matrices of low frequency blocks DWT coefficients of audio signal. In this algorithm, the watermark is embedded by applying a Quantization Index Modulation (QIM) process on the determined

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Chen, Kuan-Ting, Wei-Hsuan Ma, Yin-Tsung Hwang, and Kuan-Ying Chang. "A Low Complexity, High Throughput DoA Estimation Chip Design for Adaptive Beamforming." Electronics 9, no. 4 (2020): 641. http://dx.doi.org/10.3390/electronics9040641.

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Direction of Arrival (DoA) estimation is essential to adaptive beamforming widely used in many radar and wireless communication systems. Although many estimation algorithms have been investigated, most of them focus on the performance enhancement aspect but overlook the computing complexity or the hardware implementation issues. In this paper, a low-complexity yet effective DoA estimation algorithm and the corresponding hardware accelerator chip design are presented. The proposed algorithm features a combination of signal sub-space projection and parallel matching pursuit techniques, i.e., app

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KITTISUWAN, PICHID, THITIPORN CHANWIMALUANG, SANPARITH MARUKATAT, and WIDHYAKORN ASDORNWISED. "IMAGE AND AUDIO-SPEECH DENOISING BASED ON HIGHER-ORDER STATISTICAL MODELING OF WAVELET COEFFICIENTS AND LOCAL VARIANCE ESTIMATION." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 06 (2010): 987–1017. http://dx.doi.org/10.1142/s0219691310003808.

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At first, this paper is concerned with wavelet-based image denoising using Bayesian technique. In conventional denoising process, the parameters of probability density function (PDF) are usually calculated from the first few moments, mean and variance. In the first part of our work, a new image denoising algorithm based on Pearson Type VII random vectors is proposed. This PDF is used because it allows higher-order moments to be incorporated into the noiseless wavelet coefficients' probabilistic model. One of the cruxes of the Bayesian image denoising algorithms is to estimate the variance of t

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Hsu, Kai, and Arthur B. Baggeroer. "Application of the maximum‐likelihood method (MLM) for sonic velocity logging." GEOPHYSICS 51, no. 3 (1986): 780–87. http://dx.doi.org/10.1190/1.1442130.

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Modern digital sonic tools can record full waveforms using an array of receivers. The recorded waveforms are extremely complicated because wave components overlap in time. Conventional beamforming approaches, such as semblance processing, while robust, sometimes do not resolve the interfering wave components propagating at similar speeds, such as multiple compressional arrivals due to the formation alteration surrounding the borehole. Here the maximum‐likelihood method (MLM), a high‐resolution array processing algorithm, is modified and applied to process borehole array sonic data. Extensive m

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Yu, Dong, Duan, and Liu. "A Novel Interference Suppression Method for Interrupted Sampling Repeater Jamming Based on Singular Spectrum Entropy Function." Sensors 19, no. 1 (2019): 136. http://dx.doi.org/10.3390/s19010136.

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As a new type of jamming, the interrupted sampling repeater jamming (ISRJ) derived from the digital radio frequency memory (DRFM) technology, can generate coherent multiple false targets after pulse compression. At present, the traditional interference suppression method and its improved methods have insufficient characteristics and poor detection performance under the condition of low signal-to-noise ratio (SNR). Aiming at addressing this defect, this paper proposes an interference suppression method for ISRJ based on singular spectrum entropy function (SSEF) from the aspects of singular valu

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Xie, Jian, Qiuping Wang, Yuexian Wang, and Xin Yang. "Efficient Two-Dimensional Direction Finding Algorithm for Rectilinear Sources Under Unknown Mutual Coupling." Sensors 20, no. 7 (2020): 1914. http://dx.doi.org/10.3390/s20071914.

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Digital communication signals in wireless systems may possess noncircularity, which can be used to enhance the degrees of freedom for direction-of-arrival (DOA) estimation in sensor array signal processing. On the other hand, the electromagnetic characteristics between sensors in uniform rectangular arrays (URAs), such as mutual coupling, may significantly deteriorate the estimation performance. To deal with this problem, a robust real-valued estimator for rectilinear sources was developed to alleviate unknown mutual coupling in URAs. An augmented covariance matrix was built up by extracting t

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Wang, Hong Yang. "A Secure Image Watermarking Using Visual Cryptography and Discrete Fractional Fourier Transform." Applied Mechanics and Materials 577 (July 2014): 754–57. http://dx.doi.org/10.4028/www.scientific.net/amm.577.754.

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In this paper we proposed a secure image watermarking algorithm for digital image using the visual cryptography (VC) and discrete fractional Fourier transform (DFRFT). We use the visual secret sharing scheme to construct two shares, namely, master share and ownership share. Features of the original image are extracted using Non-Negative Matrix Factorization (NMF), and are used to generate the master share. Ownership share is generated with the help of secret image (watermark) and the master share, using VC technique. In case of any dispute, the master shares and ownership shares can be stacked

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Mhaske, Swapnil, Hojin Kee, Tai Ly, Ahsan Aziz, and Predrag Spasojevic. "FPGA-Based Channel Coding Architectures for 5G Wireless Using High-Level Synthesis." International Journal of Reconfigurable Computing 2017 (2017): 1–23. http://dx.doi.org/10.1155/2017/3689308.

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We propose strategies to achieve a high-throughput FPGA architecture for quasi-cyclic low-density parity-check codes based on circulant-1 identity matrix construction. By splitting the node processing operation in the min-sum approximation algorithm, we achieve pipelining in the layered decoding schedule without utilizing additional hardware resources. High-level synthesis compilation is used to design and develop the architecture on the FPGA hardware platform. To validate this architecture, an IEEE 802.11n compliant 608 Mb/s decoder is implemented on the Xilinx Kintex-7 FPGA using the LabVIEW

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Kamal, Ahmed, Esam Hagras, and H. A. El-Kamchochi. "Dynamic fractional chaotic biometric isomorphic elliptic curve for partial image encryption." Computer Science and Information Systems 18, no. 3 (2021): 1057–76. http://dx.doi.org/10.2298/csis200502018k.

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In this paper, a Modular Fractional Chaotic Sine Map (MFC-SM) has been introduced to achieve high Lyapunov exponent values and completely chaotic behavior of the bifurcation diagram for high level security. The proposed MFC-SM is compared with the conventional non MFC-SM and it has an excellent chaotic analysis. In addition, the randomness test results indicate that the proposed MFC-SM shows better performance and satisfy all randomness tests. Due to the excellent chaotic properties and good randomization results for the proposed MFC-SM, it is used to be cooperated with the biometric digital i

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Abramov, Alexander Dmitrievich, Andrei Vyktorovych Krupka, Valentin Igorevich Nosko, and Anton Dmitrievich Sobkolov. "ALGORITHM FOR ESTIMATION OF ELECTROPHYSICAL PARAMETERS OF THE SURFACE BY ITS OWN MICROWAVE RADIATION." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (December 25, 2019): 55–61. http://dx.doi.org/10.32620/reks.2019.4.06.

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Reliable estimation of the electro physical parameters of surfaces using radiometric equipment is an actual area of remote environmental monitoring. The disadvantage of the procedures developed today for assessing the indicated properties of surfaces according to their own thermal radiation, prevents their practical use.In the framework of the statistical theory of detection-measurement based on the results of processing radiometric signals during multichannel reception, an identification method is developed and a decision-making rule were synthesized in favor of any of the hypotheses put forw

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Pogribny, W. A. "Differential algorithms of digital signal processing." Radioelectronics and Communications Systems 53, no. 7 (2010): 380–88. http://dx.doi.org/10.3103/s073527271007006x.

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Steinhardt, A. "Fast algorithms for digital signal processing." IEEE Transactions on Acoustics, Speech, and Signal Processing 34, no. 1 (1986): 221. http://dx.doi.org/10.1109/tassp.1986.1164800.

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Steinhardt, A. "Fast algorithms for digital signal processing." Proceedings of the IEEE 75, no. 7 (1987): 973–74. http://dx.doi.org/10.1109/proc.1987.13837.

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Challener, Paul. "Fast algorithms for digital signal processing." Microprocessors and Microsystems 9, no. 10 (1985): 514. http://dx.doi.org/10.1016/0141-9331(85)90186-3.

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Embree, Paul M., Bruce Kimble, and James F. Bartram. "C Language Algorithms for Digital Signal Processing." Journal of the Acoustical Society of America 90, no. 1 (1991): 618. http://dx.doi.org/10.1121/1.401205.

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Dolmans, Jeroen H. "C language algorithms for digital signal processing." Control Engineering Practice 4, no. 10 (1996): 1484–85. http://dx.doi.org/10.1016/0967-0661(96)85106-9.

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Ashrafi, Ashkan, Antonio G. M. Strollo, and Oscar Gustafsson. "Hardware Implementation of Digital Signal Processing Algorithms." Journal of Electrical and Computer Engineering 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/782575.

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Rawski, Mariusz, Bogdan Falkowski, and Tadeusz Łuba. "Digital signal processing designing for FPGA architectures." Facta universitatis - series: Electronics and Energetics 20, no. 3 (2007): 437–59. http://dx.doi.org/10.2298/fuee0703437r.

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This paper presents the discussion on efficiency of different implementation methodologies of DSP algorithms targeted for modern FPGA architectures. Modern programmable structures are equipped with specialized DSP embedded blocks that allow implementing digital signal processing algorithms with use of the methodology known from digital signal processors. On the first place however, programmable architectures give the designer the possibility to increase efficiency of designed system by exploitation of parallelism of implemented algorithms. Moreover, it is possible to apply special techniques s

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Arambepola, B. "Book review: Fast Algorithms for Digital Signal Processing." IEE Proceedings F Communications, Radar and Signal Processing 134, no. 1 (1987): 19. http://dx.doi.org/10.1049/ip-f-1.1987.0004.

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Garg, H. Krishna, C. C. Ko, K. Y. Lin, and H. Liu. "On algorithms for digital signal processing of sequences." Circuits Systems and Signal Processing 15, no. 4 (1996): 437–52. http://dx.doi.org/10.1007/bf01183153.

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A.O., Bello, and Kabari L.G. "Digital Signal Processing for Predicting Stock Prices." British Journal of Computer, Networking and Information Technology 4, no. 2 (2021): 12–21. http://dx.doi.org/10.52589/bjcnit-xnp3ubpl.

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With the exponential growth of big data and data warehousing, the amount of data collected from various stock markets around the world has increased significantly. It is now impossible to process and analyze data using mathematical techniques and basic statistical calculations to forecast trends such as closing and opening prices, as well as daily stock market lows and highs. The development of smart and automated stock market forecasting systems has made significant progress in recent years. Digital signal processing is required for analysis and preprocessing because of the accuracy and speed

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Sung, Tze‐Yun, Tai‐Ming Parng, and Yu‐Hen Hu. "Doubly pipelined CORDIC array for digital signal processing algorithms." Journal of the Chinese Institute of Engineers 10, no. 4 (1987): 375–83. http://dx.doi.org/10.1080/02533839.1987.9676985.

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Kezunovic, M., P. Spasojevic, and B. Perunicic. "New digital signal processing algorithms for frequency deviation measurement." IEEE Transactions on Power Delivery 7, no. 3 (1992): 1563–73. http://dx.doi.org/10.1109/61.141876.

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Liu, Ji-Gou. "Self-correction algorithms and applications to digital signal processing." Measurement 31, no. 2 (2002): 107–16. http://dx.doi.org/10.1016/s0263-2241(01)00034-3.

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Gast, W., R. M. Lieder, L. Mihailescu та ін. "Digital signal processing and algorithms for γ-ray tracking". IEEE Transactions on Nuclear Science 48, № 6 (2001): 2380–84. http://dx.doi.org/10.1109/23.983272.

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van Straten, W., and M. Bailes. "DSPSR: Digital Signal Processing Software for Pulsar Astronomy." Publications of the Astronomical Society of Australia 28, no. 1 (2011): 1–14. http://dx.doi.org/10.1071/as10021.

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Abstractdspsr is a high-performance, open-source, object-oriented, digital signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coher

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Chen, Jian Xiang, and Hong Jun Sun. "The Digital Signal Processing Algorithm Implemented on ARM Embedded System." Advanced Materials Research 756-759 (September 2013): 3958–61. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3958.

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Digital Signal Processing technology is an important tool for modern signal processing. The speedy development ARM embedded processor has powerful computed capability for digital signal processing algorithms. The paper provides a common hardware platform in recent years. In this paper, used assemble language to realize the algorithms and FIR Filter based on ARM-Linux embedded environment. The results shown that the ARM can quickly and efficiently complete a series of digital signal processing algorithms. Digital signal processing algorithm on ARM embedded system provides an effective way.

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Connolly, F. T., and A. E. Yagle. "Fast algorithms for complex matrix multiplication using surrogates." IEEE Transactions on Acoustics, Speech, and Signal Processing 37, no. 6 (1989): 938–39. http://dx.doi.org/10.1109/assp.1989.28064.

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Kulyk, A. V., P. N. Zheltov, S. V. Klymenko, and V. V. Chabanov. "Automated system of contactless ultrasound nondestructive quality control of solid fuel rocket engines from composite materials." Kosmìčna nauka ì tehnologìâ 27, no. 3 (2021): 76–84. http://dx.doi.org/10.15407/knit2021.03.076.

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Currently, in various industries (engineering, aircraft, energy, etc.) the issue of product quality assurance and control is particularly acute. This is due primarily to the ever-increasing requirements for increasing reliability with increasing loads on products, which entails the strengthening of technical standards. The issue of quality control for rocket and space technology products is especially relevant. Modern power structures of rocket and spacecraft made of polymer composite materials, and especially the body of solid fuel rocket engines (SFRЕ), are multilayer packages of various pol

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Whitted, R. B., and P. B. Crilly. "A digital signal processing architecture for iterative deconvolution restoration algorithms." IEEE Transactions on Instrumentation and Measurement 41, no. 1 (1992): 147–51. http://dx.doi.org/10.1109/19.126650.

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