@article{(Open Science Index):https://publications.waset.org/pdf/8734,
	  title     = {Multi Switched Split Vector Quantizer},
	  author    = {M. Satya Sai Ram and  P. Siddaiah and  M. Madhavi Latha},
	  country	= {},
	  institution	= {},
	  abstract     = {Vector quantization is a powerful tool for speech
coding applications. This paper deals with LPC Coding of speech
signals which uses a new technique called Multi Switched Split
Vector Quantization, This is a hybrid of two product code vector
quantization techniques namely the Multi stage vector quantization
technique, and Switched split vector quantization technique,. Multi
Switched Split Vector Quantization technique quantizes the linear
predictive coefficients in terms of line spectral frequencies. From
results it is proved that Multi Switched Split Vector Quantization
provides better trade off between bitrate and spectral distortion
performance, computational complexity and memory requirements
when compared to Switched Split Vector Quantization, Multi stage
vector quantization, and Split Vector Quantization techniques. By
employing the switching technique at each stage of the vector
quantizer the spectral distortion, computational complexity and
memory requirements were greatly reduced. Spectral distortion was
measured in dB, Computational complexity was measured in
floating point operations (flops), and memory requirements was
measured in (floats).},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {90 - 95},
	  ee        = {https://publications.waset.org/pdf/8734},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},
	}