### Initial Libre-FDATool GUI Version.

Developed at CERN BE-CO H&T in the week 37 of year 2013.
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analysis.py 0 → 100644
 # This file is part of librefdatool. librefdatool is free software: you can # redistribute it and/or modify it under the terms of the GNU General Public # License as published by the Free Software Foundation, version 2. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU General Public License for more # details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # # Copyright (C) 2013 Javier D. Garcia-Lasheras # # Analysis class code is based in previous open source work: # * mfreqz: by Matti Pastell # * zplane: by Chris Felton import numpy as np from numpy import pi, log10 from scipy import signal from matplotlib import pyplot as plt from matplotlib import mlab from matplotlib import patches from matplotlib.figure import Figure from matplotlib import rcParams class Analysis(): '''This class include tools for LTI filter analysis, sporting math models for studying coefficient quantization effects. Note (limited to FIR filters) ''' def analyze_zero_pole(self, c, p, q, filename=None): '''Plot graphical zero/pole analysis in Z-plane: * c: FIR filter coefficients array. * filename: optional file for storing plot and not showing it. ''' print('Plotting Z Analysis...') # Quantize coefficients d = np.zeros(len(c)) for ii in range(len(c)): d[ii] = int(c[ii]*(2**(p+q-1))) # Temporal assignation: only valid for FIR print('Coefficients') b1 = c a1 = 1 print(b1) print(np.max(b1)) b2 = d a2 = 1 print(b2) print(np.max(b1)) plt.figure('libre-fdatool analysis'); # get a figure/plot ax = plt.subplot(111) # create the unit circle uc = patches.Circle((0,0), radius=1, fill=False, color='black', ls='dashed') ax.add_patch(uc) # 1 - The coefficients are less than 1, normalize the coeficients if np.max(b1) > 1: kn1 = np.max(b1) b1 = b1/float(kn1) else: kn1 = 1 if np.max(a1) > 1: kd1 = np.max(a1) a1 = a1/float(kd1) else: kd1 = 1 # 2 - The coefficients are less than 1, normalize the coeficients if np.max(b2) > 1: kn2 = np.max(b2) b2 = b2/float(kn2) else: kn2 = 1 if np.max(a2) > 1: kd2 = np.max(a2) a2 = a2/float(kd2) else: kd2 = 1 # Get the poles and zeros p1 = np.roots(a1) z1 = np.roots(b1) k1 = kn1/float(kd1) p2 = np.roots(a2) z2 = np.roots(b2) k2 = kn2/float(kd2) # 1 - Plot the zeros and set marker properties tz1 = plt.plot(z1.real, z1.imag, 'bo', ms=10) plt.setp( tz1, markersize=10.0, markeredgewidth=1.0, markeredgecolor='b', markerfacecolor='b') # 1 - Plot the poles and set marker properties tp1 = plt.plot(p1.real, p1.imag, 'bx', ms=10) plt.setp( tp1, markersize=12.0, markeredgewidth=3.0, markeredgecolor='b', markerfacecolor='b') # 2 - Plot the zeros and set marker properties tz2 = plt.plot(z2.real, z2.imag, 'ro', ms=10) plt.setp( tz2, markersize=10.0, markeredgewidth=1.0, markeredgecolor='r', markerfacecolor='r') # 2 - Plot the poles and set marker properties tp2 = plt.plot(p2.real, p2.imag, 'rx', ms=10) plt.setp( tp2, markersize=12.0, markeredgewidth=3.0, markeredgecolor='r', markerfacecolor='r') # set axis plt.axis('scaled') plt.ylabel('Imaginary Component') plt.xlabel('Real Component') plt.title(r'Zero-Pole Diagram (Blue=Float; Red=Int)') plt.grid(True) # show or store plot return plt def analyze_frequency_response(self, c, p, q, filename=None): '''Plot graphical Magnitude/Phase analysis in frequency domain: * c: FIR filter coefficients array. * filename: optional file for storing plot and not showing it. ''' # Quantize coefficients d = np.zeros(len(c)) for ii in range(len(c)): d[ii] = int(c[ii]*(2**(p+q-1))) d = d/(2**(p+q-1)) print(c) print(d) wc,hc = signal.freqz(c,1) hc_dB = 20 * log10 (abs(hc)) wd,hd = signal.freqz(d,1) hd_dB = 20 * log10 (abs(hd)) plt.figure('libre-fdatool analysis'); plt.subplot(211) plt.plot(wc/max(wc),hc_dB,'b') plt.plot(wd/max(wd),hd_dB,'r') plt.ylim(-150, 5) plt.ylabel('Magnitude (dB)') plt.xlabel(r'Normalized Frequency (x$\pi$rad/sample)') plt.title(r'Magnitude response (Blue=Float; Red=Int)') plt.grid(True) plt.subplot(212) hc_Phase = np.unwrap(np.arctan2(np.imag(hc),np.real(hc))) hd_Phase = np.unwrap(np.arctan2(np.imag(hd),np.real(hd))) plt.plot(wc/max(wc),hc_Phase,'b') plt.plot(wd/max(wd),hd_Phase,'r') plt.ylabel('Phase (radians)') plt.xlabel(r'Normalized Frequency (x$\pi$rad/sample)') plt.title(r'Phase response (Blue=Float; Red=Int)') plt.grid(True) plt.subplots_adjust(hspace=0.5) return plt
bitstring.py 0 → 100644
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control.py 0 → 100644
 # This file is part of librefdatool. librefdatool is free software: you can # redistribute it and/or modify it under the terms of the GNU General Public # License as published by the Free Software Foundation, version 2. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU General Public License for more # details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # # Copyright (C) 2013 Javier D. Garcia-Lasheras # import numpy as np from numpy import pi, log10 from scipy import signal from matplotlib import pyplot as plt from matplotlib import mlab class control: '''This class acts as control interface for filter parameters, such as structure realization, fixed-point approximation... Note (limited to FIR filters) ''' def __init__(self): '''This method provides initial filter parameters, executing each set command with default values when a new filter object is intantiated. ''' self.setBus() self.setScaling() self.setStructure() self.setModel() self.setTrace() self.setWorkspace() self.setToolchain() def setBus(self, busX=[1,15], busY=[1,15], busC=[1,15]): '''assign the different bus width: The value is given as a pair of natural numbers [p,q]: - p is the number of bits representing the integer part. - q is the number of bits representing the fractional part There are three different configurable buses: * busX: Input bit width * busY: Output bit width * busC: Coefficient bit width ''' self.busX = busX self.busY = busY self.busC = busC def setScaling(self, scalingX=16, scalingC=16): '''assign the different FP scaling factor: * scalingX: Input FP scaling factor (power of two exponent) * scalingC: Coefficient FP scaling factor (power of two exponent) ''' self.scalingX = scalingX self.scalingC = scalingC def setStructure(self, structure='firfilt'): '''assign filter structure or realization. Availability depends on python-to-HDL toolchain selection. TBD: only "firfilt" structure is available Future structures are type I/II direct forms, transposed... ''' self.structure = structure def setTrace(self, trace=False): '''assign activation state for VCD file tracer. If true, a *.vcd file will be generated by simulation process. This file can be analyzed with third party tools such as GTKWave. ''' self.trace = trace def setModel(self, model='myhdl'): '''assign HDL model, this is, the languaje for the toolchain. When not selected the native/default value, it relies on languaje conversion cogeneration & Icarus cosimulation. For myhdl toolchain, valid values are [myhdl, verilog, vhdl, vhdl2] TBD: this mechanism still has to be adapted for toolchain selection and including migen an other tools (maybe GHDL for cosimulation). ''' self.model = model def setWorkspace(self, workspace='.'): '''assign workspace folder for filter design and analysis. By default, the path is the one where the librefdatool is called. In this path, output files will be generated: * VHDL, Verilog converted files * VCD simulation files ''' self.workspace = workspace def setToolchain(self, toolchain='myhdl'): '''Choose python-to-HDL toolchain. By default, MyHDL is the toolchain in use. TBD: migen toolchain will be developed in the near future ''' self.toolchain = toolchain
core.py 0 → 100644
 # This file is part of librefdatool. librefdatool is free software: you can # redistribute it and/or modify it under the terms of the GNU General Public # License as published by the Free Software Foundation, version 2. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU General Public License for more # details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # # Copyright (C) 2013 Javier D. Garcia-Lasheras # import sys import os from simcore import simcore class core: '''This class provides the principal librefdatool methods, including running signal filtering with HDL models. TBD: limited to FIR filter simulation ''' def librefilter(self, b, a, x): '''This method provides filter hardware simulation, using a HDL description & a simulation engine parametrized with the device control values. * c: FIR filter coefficients array. * x: Input signal array. * return: simulated output signal NOTE: the filter behaviour is tuned to match with: scipy.signal.lfilter (the purpose is direct comparision of outputs) ''' # Save path and jump to workspace (TBD: if exists!!) self.savedPath = os.getcwd() os.chdir(self.workspace) runner = simcore(); response = runner.simfilter(b, a, x, self.structure, self.model, self.trace, self.busX, self.busY, self.busC, self.scalingX, self.scalingC) # Return from workspace folder os.chdir(self.savedPath) return response
device.py 0 → 100644
 # This file is part of librefdatool. librefdatool is free software: you can # redistribute it and/or modify it under the terms of the GNU General Public # License as published by the Free Software Foundation, version 2. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU General Public License for more # details. # # You should have received a copy of the GNU General Public License along with # this program; if not, write to the Free Software Foundation, Inc., 51 # Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # # Copyright (C) 2013 Javier D. Garcia-Lasheras # # LibreFDATool Libraries from core import * from analysis import * from control import * class device( control, core, Analysis): '''This class instantiate a librefdatool filter device object. A device represents an HDL model that can be widely parametrized and used in python signal processing analysis and simulation. The device class act as a main wrapper that includes function subclasses TBD: only FIR filter is supported. General LTI system is in development. ''' pass
filter.py 0 → 100644
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generator.py 0 → 100644
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librefdatool.py 0 → 100644