scholarly journals FFT Implementation using Modified Booth Multiplier and CLA

2020 ◽  
Vol 9 (3) ◽  
pp. 2780-2782
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Voice Recognition ◽  
Digital Signal ◽  
Efficient Design ◽  
Efficient Manner ◽  
Booth Multiplier ◽  
Hearing Devices ◽  
Recognition Systems

In the field of digital signal and image processing the Fast Fourier Transform (FFT) is one of the rudimentary operations. Telecommunication, Automotive, Hearing devices, Voice recognition systems are some of the applications of Fast Fourier Transform. DFT is implemented using FFT which is a type of algorithm that computes DFT in a fast and efficient manner. This project concentrates on the development of the Fast Fourier Transform (FFT), based on Decimation In Time (DIT) domain, Radix2 algorithm, using VHDL as a design entity.The objective of this project is to establish an efficient design that computes FFT in a faster way. In this project FFT is implemented using modified booth multiplier and CLA and simulated on Xilinx ISE.

Design and Implementation of Fast Fourier Transform (FFT) using VHDL Code

2018 ◽  
Vol 6 (8) ◽  
pp. 268
Author(s):  
Akarshika Singhal ◽  
Anjana Goen ◽  
Tanu Trushna Mohapatrara
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Discrete Fourier Transform ◽  
Digital Signal ◽  
Frequency Division ◽  
Signal And Image Processing ◽  
Design And Implementation ◽  
Fft Processor ◽  
Vhdl Code

The Discrete Fourier Transform (DFT) can be implemented very fast using Fast Fourier Transform (FFT). It is one of the finest operation in the area of digital signal and image processing. FFT is a luxurious operation in terms of MAC. To achieve FFT calculation with a many points and with maximum number of samples the MACs requirement could not be matched by efficient hardware’s like DSP. A parallel and pipelined Fast Fourier Transform (FFT) processor for use in the Orthogonal Frequency division Multiplexer (OFDM) and WLAN, unlike being stored in the traditional ROM. The twiddle factors in our pipelined FFT processor can be accessed directly. In this paper, we present the implementation of fast algorithms for the DFT for evaluating their performance. The performance of this algorithm by implementing them on the Xillinx 9.2i Spartan 3E FPGAs  by developing our own FFT processor architecture.

Fingerprint Recognition in Wavelet Domain

2012 ◽  
Author(s):  
Wan Azizun Wan Adnan ◽  
Tze Siang Lim ◽  
Salasiah Hitam
Keyword(s):  
Image Processing ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Low Cost ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Identification ◽  
Small Computer ◽  
Identification System ◽  
Identification Algorithm

Teknik cetak ibujari merupakan satu daripada teknologi biometrik yang paling boleh diharapkan. Beberapa pendekatan terhadap pemadanan ibujari secara automatik telah dicadangkan dalam saranan. Dalam pengecaman ibujari, pra–prosesan seperti pelicin, binarization dan thinning diperlukan. Kemudian, ciri–ciri cetak ibujari yang terperinci diambil berdasarkan algoritma pengecaman cetak ibujari (seperti dengan menggunakan Fast Fourier Transform (FFT)) mungkin memerlukan teknik–teknik pengkomputeran yang banyak sehingga menjadikannya tidak praktikal. Algoritma berdasarkan wavelet mungkin merupakan kunci untuk membina sistem pengecaman cetak ibujari kos rendah yang boleh dioperasi dalam sistem komputer bermodul kecil. Di sini, satu sistem pengecaman cetak ibujari yang boleh menjalankan pemadanan cetak ibujari berdasarkan kepada ciri–ciri yang diperolehi daripada domain jelmaan wavelet diperkenalkan. Kajian ini adalah berdasarkan kepada perisian MATLAB dan aplikasinya dalam toolbox seperti Wavelet and Image Processing Toolbox. Kata kunci: Biometrik, wavelet, cetaksekuriti, pengecaman cetak ibujari Fingerprint technique is one of the most reliable biometric technologies. In the fingerprint recognition, pre-processing such as smoothing, binarization, and thinning are needed. Then, fingerprint minutia feature is extracted. Some fingerprint identification algorithm (such as using Fast Fourier Transform, (FFT)) may require so much computation as to be impractical. Wavelet based algorithm may be the key to making a low cost fingerprint identification system that would operate on a small computer. We present a fingerprint recognition system that can match the fingerprint images based on features extracted in the wavelet transform domain. This study is implemented based on MATLAB Software and their toolbox applications, such as Wavelet and Image Processing Toolbox. Key words: Biometrics, wavelet, security, fingerprint recognition

Classification of Women's Voices Using Fast Fourier Transform (FFT) Method

2021 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Made Sri Ayu Apsari ◽  
I Made Widiartha
Keyword(s):  
Signal Processing ◽  
Fourier Transform ◽  
Digital Signal Processing ◽  
Fast Fourier Transform ◽  
Digital Signal ◽  
Women's Voices ◽  
Mezzo Soprano

Everyone has a different kind of voice. Based on gender, voice type is divided into six parts, namely soprano, mezzo soprano, and alto for women; and tenor, baritone, and bass in men. Each type of sound has a different range and with different frequencies. This study classified the type of voice in women using the Fast Fourier Transform (FFT) method by recording the voices of each user which would then be processed using the FFT method to obtain the appropriate sound range. This research got results with an accuracy of up to 80%.The results obtained from this study are quite appropriate and it is proven that the FFT method can be used in digital signal processing.

A Survey on FFT/IFFT Processors for Next Generation Telecommunication Systems

2017 ◽  
Vol 27 (03) ◽  
pp. 1830001 ◽  
Author(s):  
Elango Konguvel ◽  
Muniandi Kannan
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Orthogonal Frequency Division Multiplexing ◽  
High Speed ◽  
Digital Signal ◽  
Path Delay ◽  
Chip Design ◽  
Optical Ofdm ◽  
Processing Device ◽  
Single Path

The Fast Fourier Transform and Inverse Fast Fourier Transform (FFT/IFFT) are the most significant digital signal processing (DSP) techniques used in Orthogonal Frequency Division Multiplexing (OFDM)-based applications which include day-to-day wired/wireless communications, broadband access, and information sharing. The advancements in telecommunication technologies require an efficient FFT/IFFT processing device to meet the necessary specifications which depend on the particular application. A real-time implementation of high-speed FFT/IFFT processor with less area that operates in minimal power consumption is essential in designing an OFDM integrated chip. A comparative study of efficient algorithms and architectures for FFT chip design is presented in this paper. It is also recommended that mixed-radix/higher-radix algorithm combined with Single-path Delay Commutator (SDC) architecture is appropriate for massive MIMO in 5G, optical OFDM, cooperative MIMO and multi-user MIMO-based applications.

scholarly journals Rancang Bangun Smart Dispenser Untuk Penyandang Tunanetra Menggunakan Pola Pengenalan Suara (Voice Recognition) Dengan Algoritma Fast Fourier Transform (FFT) Dan Autocorrelation

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Asrori Firman Mawardi ◽  
Ahmad Ubaidillah ◽  
Kunto Aji Wibisono
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Low Vision ◽  
Voice Recognition ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Voice Activity

Tunanetra merupakan kondisi dimana indra penglihatan manusia sudah tidak lagi berfungsi secara normal, dapat diklasifikasikan menjadi dua kategori besar, yaitu buta total (totally blind) dan yang masih mempunyai sisa penglihatan (Low Vision). Dengan hilangnya fungsi penglihatan dari seseorang, maka penyandang tunanetra tersebut harus memaksimalkan indra yang lain, baik indra perasa, penciuman, maupun pendengaran agar penyandang tunanetra mampu melakukan segala sesuatu secara mandiri. Terlebih dalam kegiatan mengambil air minum. Dispenser merupakan sebuah perangkat elektronik pengolah air dalam galon agar dapat diminum baik panas ataupun dingin dengan cara manual. Dengan alasan tersebut, tercetuslah ide untuk membuat suatu sistem dispenser otomatis. Dalam penyusunan skripsi ini telah direalisasikan sebuah dispenser otomatis untuk mempermudah penyandang disabilitas dalam mengambil air minum. Dispenser otomatis ini menggunakan voice recognition sebagai starting sistem dengan perintah suara yang ditangkap oleh microphone ke pc dan file akan disimpan dalam format.wav. Terdapat beberapa teknik untuk pengenalan pola suara yang baik, seperti penggunaan pada metode VAD (Voice Activity Detection) dan FFT (Fast Fourier Transform) kemudian dicocokan oleh metode Autocorrelation dan akan masuk dalam pengambilan keputusan. Dari penelitian ini didapatkan tingkat akurasi sistem pengolahan suara tersebut yakni 68.89%.

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