$12\mathrm{.}33$ Wavelet$-$based data compression:

Given $16-$bit speech data $("$speech$.$dat"$)$ and using the wavelet$-$coding method with $16-$tap Daubechies wavelet filters, write a MATLAB program to compress the speech signal with the following specification:

$($a$)16$ bits for each of wavelet coefficients, compression $2$:$1$;

$($b$)16$ bits for each of wavelet coefficients, compression $4$:$1$;

$($c$)16$ bits for each of wavelet coefficients, compression $8$:$1$;

$($d$)16$ bits for each of wavelet coefficients, compression $16$:$1$;

$($e$)16$ bits for each of wavelet coefficients, compression $32$:$1$;

$($f$)$ Measure SNR in dB for $($a$),($b$),($c$),($d$),$ and $($f$)$;

$($g$)$ Repeat $($a$)$ to $($f$)$ for seismic data $("$seismic$.$dat"$)$ in which each sample is encoded using $32$ bits instead of $16$ bits.