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Description: 本程序将指定的16K采样的语音数据文件转换为经G.723编解码后的8K语音数据。降采样前先使用180阶的FIR滤波器对语音数据进行频率压缩，然后进行抽取，并对抽取的数据进行G.723编解码。该程序在非特定语音识别的库文件处理中使用，也可扩展至其他用途。-this procedure will be designated the 16K sampling voice data files converted to G.723 codecs by the 8K words Music data. Sampling down before use 180 bands FIR filter frequency voice data compression, then proceed to collect, also collected data G.723 codecs. The procedures in non-specific voice recognition for the use of document processing, and can be expanded to other uses.
Platform: |
Size: 1675652 |
Author: 王小飞 |
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Description: 本程序将指定的16K采样的语音数据文件转换为经G.723编解码后的8K语音数据。降采样前先使用180阶的FIR滤波器对语音数据进行频率压缩，然后进行抽取，并对抽取的数据进行G.723编解码。该程序在非特定语音识别的库文件处理中使用，也可扩展至其他用途。-this procedure will be designated the 16K sampling voice data files converted to G.723 codecs by the 8K words Music data. Sampling down before use 180 bands FIR filter frequency voice data compression, then proceed to collect, also collected data G.723 codecs. The procedures in non-specific voice recognition for the use of document processing, and can be expanded to other uses.
Platform: |
Size: 1675264 |
Author: 王小飞 |
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Description: 一个基于GPU运算的FIR滤波器程序，基于CUDA平台而开发。支持GPU并行运算。-GPU-based computing a FIR filter process, developed based on the CUDA platform. Support GPU parallel computing.
Platform: |
Size: 306176 |
Author: Jim Teoh |
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Description: Designs a frequency-domain and time-domain FIR equalizer for
a single-input single-output (SISO) channel.
Frequency-domain equalization uses a Chebychev criteria and
is specified in terms of frequency response functions.
It is a convex problem (which can be formulated as an SOCP):
-
where H is the frequency response function and our variable
is the filter impulse response h. Function G is the unequalized
frequency response and G_des is the desired freq response.
Time-domain equalization immediately designs the impulse
response function by specifying the problem in time (it s an LP):
minimize max_{t neq D} |g_tilde(t)|
s.t. g_tilde(D) = 1
Platform: |
Size: 1024 |
Author: wwcj |
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Description: Model-based control strategies like model predictive
control (MPC) require models of process dynamics accurate
enough that the resulting controllers perform adequately in
practice. Often, these models are obtained by fitting convenient
model structures (e.g., linear finite impulse response (FIR) models,
linear pole-zero models, nonlinear Hammerstein or Wiener
models, etc.) to observed input–output data. Real measurement
data records frequently contain “outliers” or “anomalous data
points,” which can badly degrade the results of an otherwise
reasonable empirical model identification procedure. This paper
considers some real datasets containing outliers, examines the
influence of outliers on linear and nonlinear system identification,
and discusses the problems of outlier detection and data cleaning.
Although no single strategy is universally applicable, the Hampel
filter described here is often extremely effective in practice.
Platform: |
Size: 119808 |
Author: JTNT |
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Description: 零延时卷积算法实现，基于fft变换。Efficient Convolution Without Latency by
William G. Gardner-It is well known that a block FFT implementation of convolution is vastly more efficient than the direct
form FIR filter. Unfortunately, block processing incurs significant input/output latency which is undesirable
for real-time applications. A hybrid method is proposed for doing convolution by combining direct form
and block FFT processing. The result is a zero latency convolver that performs significantly better than
direct form methods.
Platform: |
Size: 195584 |
Author: 程衎 |
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Description: 基于matlab的fir带通数字滤波器设计，可实现对数字信号的滤波，-fir bandpass digital filter design matlab based, enabling the digital signal filtering,
Platform: |
Size: 13312 |
Author: bobo |
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