def ten_band_eq_resp(GdB,Q=3.5):
    """
    Create a frequency response magnitude plot in dB of a ten band equalizer
    using a semilogplot (semilogx()) type plot
    
    
    Parameters
    ----------
    GdB : Gain vector for 10 peaking filters [G0,...,G9]
    Q : Quality factor for each peaking filter (default 3.5)
    
    Returns
    -------
    Nothing : two plots are created
    
    Examples
    --------
    >>> import matplotlib.pyplot as plt
    >>> from sk_dsp_comm import sigsys as ss
    >>> ss.ten_band_eq_resp([0,10.0,0,0,-1,0,5,0,-4,0])
    >>> plt.show()
    """
    fs = 44100.0 # Hz
    NB = len(GdB)
    if not NB == 10:
        raise ValueError("GdB length not equal to ten")
    Fc = 31.25*2**np.arange(NB)
    B = np.zeros((NB,3));
    A = np.zeros((NB,3));
    
    # Create matrix of cascade coefficients
    for k in range(NB):
        b,a = peaking(GdB[k],Fc[k],Q,fs)
        B[k,:] = b
        A[k,:] = a
    # Create the cascade frequency response
    F = np.logspace(1,np.log10(20e3),1000)
    H = np.ones(len(F))*np.complex(1.0,0.0)
    for k in range(NB):
       w,Htemp = signal.freqz(B[k,:],A[k,:],2*np.pi*F/fs)
       H *= Htemp
    plt.figure(figsize=(6,4))
    plt.subplot(211)
    plt.semilogx(F,20*np.log10(abs(H)))
    plt.axis([10, fs/2, -12, 12])
    plt.grid()
    plt.title('Ten-Band Equalizer Frequency Response')
    plt.xlabel('Frequency (Hz)')
    plt.ylabel('Gain (dB)')
    plt.subplot(212)
    plt.stem(np.arange(NB),GdB,'b','bs')
    #plt.bar(np.arange(NB)-.1,GdB,0.2)
    plt.axis([0, NB-1, -12, 12])
    plt.xlabel('Equalizer Band Number')
    plt.ylabel('Gain Set (dB)')
    plt.grid()
def ten_band_eq_resp(GdB,Q=3.5):
    """
    Create a frequency response magnitude plot in dB of a ten band equalizer
    using a semilogplot (semilogx()) type plot
    
    
    Parameters
    ----------
    GdB : Gain vector for 10 peaking filters [G0,...,G9]
    Q : Quality factor for each peaking filter (default 3.5)
    
    Returns
    -------
    Nothing : two plots are created
    
    Examples
    --------
    >>> import matplotlib.pyplot as plt
    >>> from sk_dsp_comm import sigsys as ss
    >>> ss.ten_band_eq_resp([0,10.0,0,0,-1,0,5,0,-4,0])
    >>> plt.show()
    """
    fs = 44100.0 # Hz
    NB = len(GdB)
    if not NB == 10:
        raise ValueError("GdB length not equal to ten")
    Fc = 31.25*2**np.arange(NB)
    B = np.zeros((NB,3));
    A = np.zeros((NB,3));
    
    # Create matrix of cascade coefficients
    for k in range(NB):
        b,a = peaking(GdB[k],Fc[k],Q,fs)
        B[k,:] = b
        A[k,:] = a
    # Create the cascade frequency response
    F = np.logspace(1,np.log10(20e3),1000)
    H = np.ones(len(F))*np.complex(1.0,0.0)
    for k in range(NB):
       w,Htemp = signal.freqz(B[k,:],A[k,:],2*np.pi*F/fs)
       H *= Htemp
    plt.figure(figsize=(6,4))
    plt.subplot(211)
    plt.semilogx(F,20*np.log10(abs(H)))
    plt.axis([10, fs/2, -12, 12])
    plt.grid()
    plt.title('Ten-Band Equalizer Frequency Response')
    plt.xlabel('Frequency (Hz)')
    plt.ylabel('Gain (dB)')
    plt.subplot(212)
    plt.stem(np.arange(NB),GdB,'b','bs')
    #plt.bar(np.arange(NB)-.1,GdB,0.2)
    plt.axis([0, NB-1, -12, 12])
    plt.xlabel('Equalizer Band Number')
    plt.ylabel('Gain Set (dB)')
    plt.grid()
def ten_band_eq_resp ( GdB , Q = 3.5 ) : fs = 44100.0 # Hz NB = len ( GdB ) if not NB == 10 : raise ValueError ( "GdB length not equal to ten" ) Fc = 31.25 * 2 ** np . arange ( NB ) B = np . zeros ( ( NB , 3 ) ) A = np . zeros ( ( NB , 3 ) ) # Create matrix of cascade coefficients for k in range ( NB ) : b , a = peaking ( GdB [ k ] , Fc [ k ] , Q , fs ) B [ k , : ] = b A [ k , : ] = a # Create the cascade frequency response F = np . logspace ( 1 , np . log10 ( 20e3 ) , 1000 ) H = np . ones ( len ( F ) ) * np . complex ( 1.0 , 0.0 ) for k in range ( NB ) : w , Htemp = signal . freqz ( B [ k , : ] , A [ k , : ] , 2 * np . pi * F / fs ) H *= Htemp plt . figure ( figsize = ( 6 , 4 ) ) plt . subplot ( 211 ) plt . semilogx ( F , 20 * np . log10 ( abs ( H ) ) ) plt . axis ( [ 10 , fs / 2 , - 12 , 12 ] ) plt . grid ( ) plt . title ( 'Ten-Band Equalizer Frequency Response' ) plt . xlabel ( 'Frequency (Hz)' ) plt . ylabel ( 'Gain (dB)' ) plt . subplot ( 212 ) plt . stem ( np . arange ( NB ) , GdB , 'b' , 'bs' ) #plt.bar(np.arange(NB)-.1,GdB,0.2) plt . axis ( [ 0 , NB - 1 , - 12 , 12 ] ) plt . xlabel ( 'Equalizer Band Number' ) plt . ylabel ( 'Gain Set (dB)' ) plt . grid ( )
Create a frequency response magnitude plot in dB of a ten band equalizer
    using a semilogplot (semilogx()) type plot
    
    
    Parameters
    ----------
    GdB : Gain vector for 10 peaking filters [G0,...,G9]
    Q : Quality factor for each peaking filter (default 3.5)
    
    Returns
    -------
    Nothing : two plots are created
    
    Examples
    --------
    >>> import matplotlib.pyplot as plt
    >>> from sk_dsp_comm import sigsys as ss
    >>> ss.ten_band_eq_resp([0,10.0,0,0,-1,0,5,0,-4,0])
    >>> plt.show()
Create a frequency response magnitude plot in dB of a ten band equalizer using a semilogplot ( semilogx () ) type plot Parameters ---------- GdB : Gain vector for 10 peaking filters [ G0 ... G9 ] Q : Quality factor for each peaking filter ( default 3 . 5 ) Returns ------- Nothing : two plots are created Examples -------- >>> import matplotlib . pyplot as plt >>> from sk_dsp_comm import sigsys as ss >>> ss . ten_band_eq_resp ( [ 0 10 . 0 0 0 - 1 0 5 0 - 4 0 ] ) >>> plt . show ()