代码搜索：Quantization

找到约 3,139 项符合「Quantization」的源代码

代码结果 3,139
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c vq.c

/* Copyright (C) 2002 Jean-Marc Valin File: vq.c Vector quantization Redistribution and use in source and binary forms, with or without modification, are permitted provided that the follo
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m noisepwr2.m

function nvar = noisepwr2(num,den) % Computes the approximate output noise variance due % to input quantization of a digital filter % by summing the square of the impulse response samples % % num and
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m noisepwr2.m

function nvar = noisepwr2(num,den) % Computes the approximate output noise variance due % to input quantization of a digital filter % by summing the square of the impulse response samples % % num
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www.eeworm.com/read/378914/2679407

m !noisepw.m

function nvar = noisepwr2(num,den) % Computes the approximate output noise variance due % to input quantization of a digital filter % by summing the square of the impulse response samples % % num and
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www.eeworm.com/read/351555/3106756

h vq.h

/* Copyright (C) 2002 Jean-Marc Valin File: vq.h Vector quantization Redistribution and use in source and binary forms, with or without modification, are permitted provided that the follo
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www.eeworm.com/read/351555/3106772

c vq.c

/* Copyright (C) 2002 Jean-Marc Valin File: vq.c Vector quantization Redistribution and use in source and binary forms, with or without modification, are permitted provided that the follo
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www.eeworm.com/read/263014/4306142

h vq.h

/* Copyright (C) 2002 Jean-Marc Valin */ /** @file vq.h @brief Vector quantization */ /* Redistribution and use in source and binary forms, with or without modification, are permitted prov
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www.eeworm.com/read/263014/4306173

c vq.c

/* Copyright (C) 2002 Jean-Marc Valin File: vq.c Vector quantization Redistribution and use in source and binary forms, with or without modification, are permitted provided that the follo
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www.eeworm.com/read/367819/9728764

java neuquant.java

//NeuQuant.java源码（处理GIF图片） /* NeuQuant Neural-Net Quantization Algorithm * ------------------------------------------ * * Copyright (c) 1994 Anthony Dekker * * NEUQUANT Neural-Net quant
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www.eeworm.com/read/248284/12585596

m noisepwr2.m

function nvar = noisepwr2(num,den) % Computes the approximate output noise variance due % to input quantization of a digital filter % by summing the square of the impulse response samples % % num
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