搜索资源列表
lvq
- LVQ - Learning Vector Quantization Demonstration Download xlvq Linux executable (128 kb) wlvq.exe Windows executable (152 kb) lvqd.zip C sources, version 1.7, 2003.09.02 (144 kb) lvqd.tar.gz (130 kb)
dquant_inter_mpeg4
- BLACKFIN下 MPEG4量化实例-BlackFin examples under the MPEG4 quantization
v1
- 一种基于JPEG的密写方法，通过修改标准量化表，将秘密信息嵌入中频系数的最低两个比特位-Realization of a steganographic method based upon JPEG and Quantization table modification.
record_play
- oss驱动下的播放和录音程序，录音时可以选择录音频率，声道，量化位数；相应的播放程序可以识别声音文件，设置声卡参数进行播发。-oss driven playback and recording procedures, recording can choose to record the frequency, channel, quantization bits player can identify the corresponding sound files, set the paramete
SPTK-3.5
- SPTK是一套语音信号处理工具为UNIX环境中,如LPC分析,PARCOR分析、LSP分析,PARCOR合成过滤器,LSP合成过滤器,矢量量化技术,以及其他扩展的版本。-SPTK is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis fi
jcparam
- Quantization table setup routines.
quant_lsp
- brief LSP vector quantization.
quantize
- quantization functions for linux API Driver.
q_fifo
- Quantization of pitch and codebook gains.
vq
- brief Vector quantization for Linux Driver.
cal_dc_scaler
- This module calculates the DC quantization scale according to the incoming Q and type.
jddctmgr
- The decompressor input side (jdinput.c) saves away the appropriate quantization table for each component at the start of the first scan involving that component for Linux.
jquant1
- The main purpose of 1-pass quantization is to provide a fas for Linux.
jquant2
- This module implements the well-known Heckbert paradigm for color quantization for Linux.
NLSF_VQ
- Compute quantization errors for an LPC_order element input vector for a VQ codebook.Loop over codebook.
mips
- This module implements the well-known Heckbert paradigm for color quantization.
stereo_encode_pred
- Entropy code the mid side quantization indices.
encode_pulses
- Encode quantization indices of excitation.
loop2
- Quantization table setup routines.Define a quantization table equal to the basic_table times a scale factor (given as a percentage).
vp9_quantize
- Quantization pass: All coefficients with index >= zero_flag are skippable. Note: zero_flag can be zero. -Quantization pass: All coefficients with index >= zero_flag are skippable. Note: zero_flag can be zero.