Relevant bibliographies by topics / Algoritmo de Goertzel

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Algoritmo de Goertzel'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Algoritmo de Goertzel"

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De Lima, Alfredo Rodrigues. "ANÁLISE DA APLICABILIDADE DO FILTRO DIGITAL DE GOERTZEL NA MEDIÇÃO DE DESEQUILÍBRIOS DE TENSÃO." HOLOS 4 (September 19, 2017): 327. http://dx.doi.org/10.15628/holos.2017.6028.

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Este artigo apresenta a utilização de um algoritmo simples de detecção de frequências no cálculo do Fator de Desequilíbrio de Tensão. O algoritmo de Goertzel permite que sejam encontradas, em um sinal distorcido, a amplitude e a fase de uma harmônica específica, sem requerer grande capacidade de armazenamento ou de processamento. Dessa forma, é possível implementar o método das componentes simétricas para o cálculo do fator de desequilíbrio de tensão, utilizando o algoritmo de Goertzel para obter o ângulo de fase e a amplitude da componente fundamental das tensões. A simulação é feita através da ferramenta Scilab. São gerados sinais que correspondem às tensões desequilibradas, tanto por módulo como por ângulo. O programa principal é implementado de forma a fornecer o valor do fator de desequilíbrio para diversas situações. Em seguida são plotados gráficos com as formas de onda das tensões e com os respectivos fasores. A análise dos resultados mostra a simplicidade, utilidade e viabilidade do uso do filtro de Goertzel em aplicações relacionadas com a qualidade da energia elétrica, permitindo que, com menor investimento em hardware, seja possível projetar equipamentos capazes de detectar e mensurar desequilíbrios de forma mais confiável e generalista.
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Kliwati, Sri. "ALGORITMA DETEKSI FREKUENSI DTMF MENGGUNAKAN KORELASI SILANG UNTUK TELEKOMANDO WAHANA TERBANG." Jurnal Teknologi Dirgantara 14, no. 1 (2016): 1. http://dx.doi.org/10.30536/j.jtd.2016.v14.a2562.

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In general, the frequency DTMF detection algorithm using FFT (Fast Fourier Transform) and Goertzel Algorithm. However, in certain circumstances a more suitable signal detected by the other algorithms. For example in a non-periodic signal as the measurement sensors for flight vehicle. The purpose of this study is to develop a system telecommand for flight vehicle. And this paper discusses the frequency DTMF (Dual Tone Multi Frequency) detection method using cross correlation algorithm and data-base DTMF. The simulation results show the frequency detection successfully carried out in accordance with the accuracy of the data-base created (1 Hz) to change the frequency of zero to 1700 Hz (DTMF frequency limit). Abstrak Deteksi frekuensi DTMF secara umum menggunakan algoritma Fast Fourier Transform (FFT) dan Goertzel Algorithm. Akan tetapi pada kondisi tertentu sebuah sinyal lebih cocok dideteksi dengan algoritma yang lain. Misalnya pada sinyal yang non-periodik seperti pada pengukuran sensor-sensor wahana terbang. Tujuan penelitian ini adalah membangun sistem telekomando untuk wahana terbang. Dan tulisan ini membahas metode deteksi frekuensi Dual Tone Multi Frequency (DTMF) dengan menggunakan algoritma korelasi silang dan data-base DTMF. Hasil simulasi menunjukkan deteksi frekuensi berhasil dilakukan sesuai dengan akurasi database yang dibuat (1 Hz) untuk perubahan frekuensi antara nol hingga 1700 Hz (batas frekuensi DTMF).
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Kliwati, Sri. "ALGORITMA DETEKSI FREKUENSI DTMF MENGGUNAKAN KORELASI SILANG UNTUK TELEKOMANDO WAHANA TERBANG (DTMF FREQUENCY DETECTION ALGORITHM USING CROSSCORRELATION FOR VEHICLE TELECOMMAND)." Jurnal Teknologi Dirgantara 14, no. 1 (2018): 1. http://dx.doi.org/10.30536/j.jtd.2016.v14.a2942.

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In general, the frequency DTMF detection algorithm using FFT (Fast Fourier Transform) and Goertzel Algorithm. However, in certain circumstances a more suitable signal detected by the other algorithms. For example in a non-periodic signal as the measurement sensors for flight vehicle. The purpose of this study is to develop a system telecommand for flight vehicle. And this paper discusses the frequency DTMF (Dual Tone Multi Frequency) detection method using cross correlation algorithm and data-base DTMF. The simulation results show the frequency detection successfully carried out in accordance with the accuracy of the data-base created (1 Hz) to change the frequency of zero to 1700 Hz (DTMF frequency limit). ABSTRAKDeteksi frekuensi DTMF secara umum menggunakan algoritma Fast Fourier Transform (FFT) dan Goertzel Algorithm. Akan tetapi pada kondisi tertentu sebuah sinyal lebih cocok dideteksi dengan algoritma yang lain. Misalnya pada sinyal yang non-periodik seperti pada pengukuran sensor-sensor wahana terbang. Tujuan penelitian ini adalah membangun sistem telekomando untuk wahana terbang. Dan tulisan ini membahas metode deteksi frekuensi Dual Tone Multi Frequency (DTMF) dengan menggunakan algoritma korelasi silang dan data-base DTMF. Hasil simulasi menunjukkan deteksi frekuensi berhasil dilakukan sesuai dengan akurasi database yang dibuat (1 Hz) untuk perubahan frekuensi antara nol hingga 1700 Hz (batas frekuensi DTMF).
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Chicharo, Joe F., and Mehdi T. Kilani. "A sliding Goertzel algorithm." Signal Processing 52, no. 3 (1996): 283–97. http://dx.doi.org/10.1016/0165-1684(96)00066-7.

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Bharadwaj B, Sai, V. Sharmila Gowri, and V. Bindu Madhuri. "Dtmf Detection Using Goertzel Algorithm." IOSR journal of VLSI and Signal Processing 4, no. 3 (2014): 34–43. http://dx.doi.org/10.9790/4200-04323443.

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Fedorenko, Sergei Valentinovich. "Improving the Goertzel–Blahut Algorithm." IEEE Signal Processing Letters 23, no. 6 (2016): 824–27. http://dx.doi.org/10.1109/lsp.2016.2557486.

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Farhan, Mhnd. "Glance on Parallelization of FFT Algorithms." Land Forces Academy Review 24, no. 1 (2019): 77–82. http://dx.doi.org/10.2478/raft-2019-0009.

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Abstract This paper implores the parallelization of Fast Fourier Transform (FFT) algorithms and evaluates the resultant parallelized source codes. The FFT algorithm is considered to be among the most important algorithms in the digital era. There are various FFT algorithms but just a few are considered in this paper. The Cooley-Tukey FFT is the most widely known and used. With no exception, in this paper, the radix-2 Decimation in Time (DIT) and Decimation in Frequency (DIF) are studied and implemented. Another important FFT algorithm that is the Goertzel is also considered in this paper.
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V.Siva, V. Siva, and shaik saidulu. "Design and Implementation of Goertzel Algorithm for DTMF application on FPGA." International Journal of Scientific Research 1, no. 6 (2012): 62–64. http://dx.doi.org/10.15373/22778179/nov2012/22.

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KULAÇ, Selman, and Murat Hüsnü SAZLI. "Effective cooperative DTV detection using the Goertzel algorithm." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 23 (2015): 1384–92. http://dx.doi.org/10.3906/elk-1304-177.

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Verma, Sanjay, and Devendra Kumar. "Detection of Protein Coding Regions using Goertzel Algorithm." International Journal of Computer Applications 124, no. 2 (2015): 1–4. http://dx.doi.org/10.5120/ijca2015905329.

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Dissertations / Theses on the topic "Algoritmo de Goertzel"

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Vašátko, Karel. "Detekce poruch v materiálech pomocí spektrální analýzy v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-221120.

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This thesis deals with detection of the natural frequencies in the material structures using algorithms working in real-time. It is used for detection of material damage. Is described physic of material, issue of discrete signals and their spectrums and methods for the calculation of the spectral components of the signal. These metods are implemented to Matlab programming environment. Methods are tested with simulated data and real signal.
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Lima, Alfredo Rodrigues de. "Indicador de inconformidades em instala??es el?tricas de baixa tens?o." Universidade Federal do Rio Grande do Norte, 2016. http://repositorio.ufrn.br/handle/123456789/20986.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-07-12T17:04:52Z No. of bitstreams: 1 AlfredoRodriguesDeLima_DISSERT.pdf: 1909195 bytes, checksum: 8680571905f085a9a3f6def1f176e2db (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-07-19T21:51:52Z (GMT) No. of bitstreams: 1 AlfredoRodriguesDeLima_DISSERT.pdf: 1909195 bytes, checksum: 8680571905f085a9a3f6def1f176e2db (MD5)<br>Made available in DSpace on 2016-07-19T21:51:52Z (GMT). No. of bitstreams: 1 AlfredoRodriguesDeLima_DISSERT.pdf: 1909195 bytes, checksum: 8680571905f085a9a3f6def1f176e2db (MD5) Previous issue date: 2016-01-28<br>Com o avan?o da tecnologia de equipamentos, das formas de gera??o e utiliza??o de energia, os par?metros de qualidade de energia passam a influenciar de forma mais expressiva os diversos tipos de cargas consumidoras. Atualmente, s?o muitos os tipos de equipamentos que analisam a qualidade de energia. Entretanto, existe a necessidade de criar dispositivos que, al?m de realizar medi??es e calcular par?metros, encontrem falhas, sugiram altera??es, e possam dar suporte ao gerenciamento da instala??o. Al?m disso, ? necess?rio garantir que tais dispositivos sejam acess?veis. Para manter esse equil?brio, deve ser utilizado um m?todo de medi??o de grandezas que n?o requeira grandes recursos de processamento ou de mem?ria. O trabalho mostra que aplica??o do algoritmo de Goertzel, em compara??o com a comumente utilizada FFT, permite que as medi??es sejam feitas utilizando menos recursos de hardware, disponibilizando espa?o na mem?ria para implementa??o de fun??es de gerenciamento. O ponto inicial do trabalho consiste na pesquisa dos dist?rbios que s?o mais frequentes para consumidores de baixa tens?o. Em seguida ? proposto o diagrama funcional que indicar? o que ser? medido, calculado, quais problemas ser?o detectados e que solu??es podem ser encontradas. Simulando o algoritmo de Goertzel atrav?s do Scilab, mostra-se que ? poss?vel calcular componentes de frequ?ncia de um sinal distorcido com resultados satisfat?rios. Finalmente, ? montado o prot?tipo e s?o realizados os testes, ajustando os par?metros necess?rios para que se consiga manter o dispositivo confi?vel sem aumentar seu custo.<br>With the progress of devices technology, generation and use of energy ways, power quality parameters start to influence more significantly the various kinds of power consumers. Currently, there are many types of devices that analyze power quality. However, there is a need to create devices, and perform measurements and calculate parameters, find flaws, suggest changes, and to support the management of the installation. In addition, you must ensure that such devices are accessible. To maintain this balance, one magnitude measuring method should be used which does not require great resources processing or memory. The work shows that application of the Goertzel algorithm, compared with the commonly used FFT allows measurements to be made using much less hardware resources, available memory space to implement management functions. The first point of the work is the research of troubles that are more common for low voltage consumers. Then we propose the functional diagram indicate what will be measured, calculated, what problems will be detected and that solutions can be found. Through the Goertzel algorithm simulation using Scilab, is possible to calculate frequency components of a distorted signal with satisfactory results. Finally, the prototype is assembled and tests are carried out by adjusting the parameters necessary for one to maintain a reliable device without increasing its cost.
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Skulínek, Zdeněk. "Paralelizace Goertzelova algoritmu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317018.

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Technical problems make impossible steadily increase processor's clock frequency. Their power are currently growing due to increasing number of cores. It brings need for new approaches in programming such parallel systems. This thesis shows how to use paralelism in digital signal processing. As an example, it will be presented here implementation of the Geortzel's algorithm using the processing power of the graphics chip.
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Záplata, Filip. "Pokročilé algoritmy zpracování signálů pro družicovou komunikaci." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-233618.

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Dizertační práce je zaměřena na softwarově definované přijímače určené k úzkopásmové družicové komunikaci. Komunikační kanály družicových spojů zahrnujících komunikaci s hlubokým vesmírem jsou zatíženy vysokými úrovněmi šumu, typicky modelovaného AWGN, a silným Dopplerovým posuvem signálu způsobeným mimořádnou rychlostí pohybu objektu. Dizertační práce představuje možné postupy řešení výpočetně efektivní digitální downkonverze úzkopásmových signálů a systému odhadu kmitočtu nosné úzkopásmových signálů zatížených Dopplerovým posuvem v řádu násobků šířky pásma signálu. Popis navrhovaných algoritmů zahrnuje analytický postup jejich vývoje a tam, kde je to možné, i analytické hodnocení jejich chování. Algoritmy jsou modelovány v prostředí MATLAB Simulink a tyto modely jsou využity pro ověření vlastností simulacemi. Modely byly také využity k experimentálním testům na reálném signálu přijatém z družice PSAT v laboratoři experimentálních družic na ústavu radioelektroniky.
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Maršál, Martin. "Elektronický modul pro akustickou detekci." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240831.

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This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.
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Bojan, Knežević. "Побољшање управљачких и енергетских карактеристика мехатроничког система лифта". Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2018. https://www.cris.uns.ac.rs/record.jsf?recordId=106866&source=NDLTD&language=en.

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Сваки мехатронички систем лифта (МСЛ) садржи механички подсистемкоји је карактерисан својом резонантном фреквенцијом. У дисертацији јепредстављен оригинални метод за подешавање антирезонантногфилтера базиран на примјени Герцеловог алгоритма и Киферовогалгоритма претраживања. Предложен је јединствени генерализованимодел референце брзине у функцији трзаја. Кроз експерименталнепровјере, верификовано је да само синергијски ефекат контроле трзаја ифилтрирања референтног момента може елиминисати резонантневибрације. Предложени су поступци и развијени алгоритми за повећањеенергетске ефикасности погона МСЛ. Предложени алгоритми су уинтеракцији са планираном трајекторијом брзине и антирезонантномуправљачком шемом. Сви предложени алгоритми су имплементиранина дигиталном сигнал процесору.<br>Svaki mehatronički sistem lifta (MSL) sadrži mehanički podsistemkoji je karakterisan svojom rezonantnom frekvencijom. U disertaciji jepredstavljen originalni metod za podešavanje antirezonantnogfiltera baziran na primjeni Gercelovog algoritma i Kiferovogalgoritma pretraživanja. Predložen je jedinstveni generalizovanimodel reference brzine u funkciji trzaja. Kroz eksperimentalneprovjere, verifikovano je da samo sinergijski efekat kontrole trzaja ifiltriranja referentnog momenta može eliminisati rezonantnevibracije. Predloženi su postupci i razvijeni algoritmi za povećanjeenergetske efikasnosti pogona MSL. Predloženi algoritmi su uinterakciji sa planiranom trajektorijom brzine i antirezonantnomupravljačkom šemom. Svi predloženi algoritmi su implementiranina digitalnom signal procesoru.<br>Each elevator mechatronic system (EMS) contains a mechanical subsystemwhich is characterized by its resonant frequencies. The original method forband-stop filter tuning based on Goertzel algorithm and Kiefer searchalgorithm is proposed in dissertation. In order to generate the speedreference trajectory which can be defined by different shapes and amplitudesof jerk, a unique generalized model is proposed. Through experimentalverifications, it has been verified that only synergistic effect of controlling jerkand filtrating the reference torque can eliminate resonant vibrations. Thedissertation proposes procedures and developed algorithms for increasingthe energy efficiency of the EMS power drive. The proposed algorithms arein interaction with the planned speed reference trajectory and the proposedanti-resonant control scheme. The all proposed algorithms are implementedon the digital signal processor.
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Trihandoyo, Agus. "Contributions à la conception et à la réalisation d'un serveur multimédia interactif à travers la ligne téléphonique." Compiègne, 1996. http://www.theses.fr/1996COMPD898.

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Les travaux présentés dans ce mémoire constituent une étude pour la conception et la réalisation d'un serveur vocal multimédia interactif sur les faisceaux MIC. Une synthèse bibliographique des principaux développements de serveurs vocaux interactifs, de leur environnement et de leurs différents éléments constitutifs est présentée. Elle a permis de mettre en évidence les problèmes liés à la conception et à la mise en œuvre d'un nouveau serveur vocal multimédia. On s'intéresse tout d'abord aux problèmes de la signalisation et de la transmission des données par les lignes téléphoniques. La méthode de détection des signaux multifréquences proposée repose sur la méthode de Goertzel. Avec un post-traitement adéquat, les résultats obtenus confirment la performance de la méthode proposée, en utilisant un nombre d'échantillons relativement faible. Ensuite, on traite les problèmes d'implantation sur les processeurs de signaux des algorithmes de transmission de données. Puis nous abordons l'étude de la reconnaissance des mots isolés qui vise à l'implantation temps réels des algorithmes actuels, basés notamment sur les modèles de Markov cachés. Elle a pour objectif d'éclairer certains problèmes spécifiques posés par ce type d'approche lors de son intégration dans l'environnement de notre serveur. Une architecture matérielle sur un composant FPGA est proposée. Une analyse sur le concept d'architecture temps réel permet de définir les conditions physiques à imposer aux machines à flot de données en terme de puissance de calcul nécessaire et d'organisation de traitements du système entier. Elle a conduit à la définition d'une architecture matérielle dédiée pour le serveur vocal. Enfin, le serveur vocal multimédia numérique réalisé est présenté.
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Gao, Zhi. "Sensorless Stator Winding Temperature Estimation for Induction Machines." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13966.

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The organic materials used for stator winding insulation are subject to deterioration from thermal, electrical, and mechanical stresses. Stator winding insulation breakdown due to excessive thermal stress is one of the major causes of electric machine failures; therefore, prevention of such a failure is crucial for increasing machine reliability and minimizing financial loss due to motor failure. This work focuses on the development of an efficient and reliable stator winding temperature estimation scheme for small to medium size mains-fed induction machines. The motivation for the stator winding temperature estimation is to develop a sensorless temperature monitoring scheme and provide an accurate temperature estimate that is capable of responding to the changes in the motors cooling capability. A discussion on the two major types of temperature estimation techniques, thermal model-based and parameter-based temperature techniques, reveals that neither method can protect motors without sacrificing the estimation accuracy or motor performance. Based on the evaluation of the advantages and disadvantages of these two types of temperature estimation techniques, a new online stator winding temperature estimation scheme for small to medium size mains-fed induction machines is proposed in this work. The new stator winding temperature estimation scheme is based on a hybrid thermal model. By correlating the rotor temperature with the stator temperature, the hybrid thermal model unifies the thermal model-based and the parameter-based temperature estimation techniques. Experimental results validate the proposed scheme for stator winding temperature monitoring. The entire algorithm is fast, efficient and reliable, making it suitable for implementation in real time stator winding temperature monitoring.
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DONG, LAN-RONG, and 董蘭榮. "DFT processor design using CORDIC with goertzel/prime factor algorithms." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/51309269675204286854.

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Shi-shien, Chu, and 朱士賢. "FPGA-based High Area Efficiency Spectrum Sensing System by Goertzel Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/98835994136088624255.

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碩士<br>崑山科技大學<br>電子工程研究所<br>95<br>FFT algorithm is the popular software design for spectrum analyzer, but doesn’t work well for parallel hardware system due to complex calculation and huge memory requirement. Observing the key components of a spectrum analyzer are the intensities for respective frequencies, we propose a Goertzel algorithm to directly extract the intensity factors for respective frequency components in the input signal. Goertzel algorithm dispenses with the memory for z-1 and z-2 processing, and only needs two multipliers and three adders for real number calculation. In this paper, we present the spectrum extraction algorithm and implement a spectrum extractor with high speed and low area consumption in a FPGA (Field Programmable Gate Array) chip. It proves the feasibility of implementing a handheld concurrent multichannel real-time spectrum analysis IP into a low gate counts and low power consumption CPLD (Complex Programmable Logic Device)chip.
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Book chapters on the topic "Algoritmo de Goertzel"

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Dulik, Tomas. "An FPGA Implementation of Goertzel Algorithm." In Field Programmable Logic and Applications. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48302-1_35.

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Rehman, B. Khaleelu, Adesh Kumar, Salauddin Mohammad, Mudasar Basha, and K. Venkata Siva Reddy. "Detection of DTMF by Using Goertzel Algorithm and Optimized Resource-Sharing Approach." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8618-3_87.

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Cordoneanu, Daniel, and Constantin Nițu. "An Approach of Extracting Features for Fault Diagnosis in Bearings Using the Goertzel Algorithm." In Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26991-3_16.

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"Appendix G: Goertzel Algorithm." In Digital Signal Processing and Applications with the C6713 and C6416 DSK. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471704075.app7.

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BOZIC, S. M., and R. J. CHANCE. "DSP implementations of Fourier and Goertzel algorithms." In Digital Filters and Signal Processing in Electronic Engineering. Elsevier, 1998. http://dx.doi.org/10.1533/9780857099747.89.

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Tomas, Bozo, and Darko Zelenik. "Determination of Spectral Parameters of Speech Signal by Goertzel Algorithm." In Speech Technologies. InTech, 2011. http://dx.doi.org/10.5772/16248.

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Conference papers on the topic "Algoritmo de Goertzel"

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Dabrowski, Adam, and Tomasz Marciniak. "Canonic Goertzel algorithm and drawbacks of various Goertzel algorithm formulations." In 2017 Signal Processing: Algorithms, Architectures, Arrangements and Applications (SPA). IEEE, 2017. http://dx.doi.org/10.23919/spa.2017.8166875.

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Wang, Wumei, Zhibin Gao, Lianfen Huang, and Yan Yao. "Spectrum Sensing Based on Goertzel Algorithm." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.289.

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Zaplata, Filip, and Miroslav Kasal. "Using the Goertzel algorithm as a filter." In 2014 24th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2014. http://dx.doi.org/10.1109/radioelek.2014.6828441.

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Tomas, Božo, and Marko Obad. "Formant Vowel Structure Tracking by Goertzel Algorithm." In 2009 Fourth International Conference on Digital Telecommunications (ICDT). IEEE, 2009. http://dx.doi.org/10.1109/icdt.2009.26.

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Schwingshackl, D., T. Mayerdorfer, and D. StrauBnigg. "Universal Tone Detection Based on the Goertzel Algorithm." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382085.

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Zhang, Zhijun, and Huimin Chen. "Research on Goertzel Algorithm of LFMCW Laser Fuze Ranging." In 2012 Symposium on Photonics and Optoelectronics (SOPO 2012). IEEE, 2012. http://dx.doi.org/10.1109/sopo.2012.6270426.

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Tomas, Božo, and Željko Roncevic. "Spectral Analysis of Heart Murmurs in Children by Goertzel Algorithm." In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (COMPUTATIONWORLD). IEEE, 2009. http://dx.doi.org/10.1109/computationworld.2009.25.

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Kaiyi Zhang, Xiaoqing Yu, and Wanggen Wan. "A digital tone decoder based on a modified Goertzel algorithm." In 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590280.

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Bui, Hung Tien. "Pipelined FPGA design of the Goertzel algorithm for exon prediction." In 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012. IEEE, 2012. http://dx.doi.org/10.1109/iscas.2012.6272095.

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Shen, X. Z., B. Zhang, and J. Y. Hu. "Identification of DTMF signal by Goertzel algorithm with integral cycles." In International Conference on Automation, Mechanical and Electrical Engineering. WIT Press, 2014. http://dx.doi.org/10.2495/amee141072.

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