def init(self, args):
Intercom_empty.init(self, args)
zeros = np.zeros(self.frames_per_chunk)
coeffs = wt.wavedec(zeros, wavelet=wavelet, level=levels, mode=padding)
arr, self.coeffs_slices = wt.coeffs_to_array(coeffs)
def send(self, indata):
#el canal derecho no hace falta transformarlo
canal_L = indata[:, 0]
coeffs = wt.wavedec(canal_L,
wavelet=wavelet,
level=levels,
mode=padding)
arr, self.coeffs_slices = wt.coeffs_to_array(coeffs)
arr = arr.astype(np.int16)
indata[:, 0] = arr
Intercom_empty.send(self, indata)
def init(self, args):
Intercom_empty.init(self, args)
self.skipped_bitplanes = [0]*self.cells_in_buffer
# Number of levels of the DWT
levels = 4
# Wavelet used Biorthogonal 3.5
#Referencia http://wavelets.pybytes.com/wavelet/bior3.5/
wavelet = 'bior3.5'
#padding = "symmetric"
padding = "periodization"
def init(self, args):
Intercom_empty.init(self, args)
self.precision_bits = 32
self.precision_type = np.int32
self.number_of_bitplanes_to_send = self.precision_bits * self.number_of_channels
print("{}".format(self.number_of_bitplanes_to_send))
print("intercom_bitplanes: transmitting by bitplanes")
self.max_number_of_bitplanes_to_send = self.number_of_bitplanes_to_send
self.number_of_received_bitplanes = self.max_number_of_bitplanes_to_send
self.levels = 4 # Number of levels of the DWT
self.wavelet = 'bior3.5' # Wavelet Biorthogonal 3.5
self.padding = "periodization" # Signal extension procedure used in
self.get_coeffs_bitplanes()
def init(self, args):
Intercom_empty.init(self, args)
self.samples = 0
#Create empty chunk for slice calcultation
empty_channel = np.zeros(self.frames_per_chunk + overlap)
#Calc coefficient of empty chunk
self.coeffs_empty = wt.wavedec(empty_channel,
wavelet=wavelet,
level=levels,
mode=padding)
#Calc coefficient array and slice structure
self.arr_empty, self.slice_structure = wt.coeffs_to_array(
self.coeffs_empty)
#Create empty coefficient array buffer
self._buffer_coeffs = [None] * self.cells_in_buffer
for i in range(self.cells_in_buffer):
self._buffer_coeffs[i] = self.generate_zero_arr()
#Set variables for previous, current and next chunk for considering overlapping samples
self._last = self.generate_zero_chunk()
self._current = self.generate_zero_chunk()
self._next = self.generate_zero_chunk()
#Increase max bitplanes to 64 (2 channels)
self.max_NOBPTS = 32 * self.number_of_channels
self.NOBPTS = self.max_NOBPTS
self.NORB = self.max_NOBPTS
#Create empty coefficiente array as template
self.arr_temp = np.zeros((len(self.arr_empty), 2), dtype=np.int32)
#Set packet size depending on overlapping bitplanes
if (overlap > 0):
self.packet_format = f"!HBB{(len(self.arr_empty)//8)+1}B"
else:
self.packet_format = f"!HBB{(len(self.arr_empty)//8)}B"
#Some status messages for development
#sys.stderr.write("\nFPC{}".format(self.frames_per_chunk)); sys.stderr.flush()
#sys.stderr.write("\nFPCMAS{}".format(self.frames_per_chunk + overlap)); sys.stderr.flush()
#sys.stderr.write("\nCOEFFS{}".format(len(self.coeffs_empty))); sys.stderr.flush()
#sys.stderr.write("\narr_empty{}".format(self.arr_empty.shape)); sys.stderr.flush()
#set buffer for skipped bitplanes
self.skipped_bitplanes = [0] * self.cells_in_buffer
def init(self, args):
Intercom_empty.init(self, args)
self.max_NOBPTS = self.number_of_channels * 32
# Initialize an empty array for coefficients
self.coeffs = pywt.wavedec(np.zeros(self.frames_per_chunk),
"db1",
mode="per",
level=4)
array, self.coeff_slices = pywt.coeffs_to_array(self.coeffs)
self.buffer_send = np.zeros((len(array), 2), dtype=np.int32)
self.buffer_coeffs = [None] * self.cells_in_buffer
for cell in range(self.cells_in_buffer):
self.buffer_coeffs[cell] = np.zeros((self.frames_per_chunk, 2),
dtype=np.int32)
def init(self, args):
Intercom_empty.init(self, args)
#We increase the number of bitplanes to send to 32 per channel
self.max_NOBPTS = 32*self.number_of_channels
#We create the structure to store the coefficients
zeros = np.zeros(self.frames_per_chunk)
self.coeffs = pywt.wavedec(zeros, wavelet=wavelet, mode=padding, level=level)
coeff_temp, self.coeff_slices = pywt.coeffs_to_array(self.coeffs)
#We create the buffers to store the coefficients in their correct format
self.buffer_send = np.zeros((len(coeff_temp), 2), dtype=np.int32)
self.buffer_coeffs = [None]*self.cells_in_buffer
for i in range(self.cells_in_buffer):
self.buffer_coeffs[i] = np.zeros((self.frames_per_chunk, 2), dtype=np.int32)
def init(self, args):
Intercom_empty.init(self, args)
self.precision_bits = 32
self.sample_type = np.int32
self.sign_mask = (1 << (self.precision_bits - 1))
self.precision_bits_1 = self.precision_bits - 1
self.magnitude_mask = ((1 << (self.precision_bits_1)) - 1)
self.number_of_bitplanes_to_send = self.precision_bits * self.number_of_channels
if __debug__:
print("intercom_dwt: number_of_bitplanes_to_send={}".format(
self.number_of_bitplanes_to_send))
self.max_number_of_bitplanes_to_send = self.number_of_bitplanes_to_send
self.number_of_received_bitplanes = self.max_number_of_bitplanes_to_send
self.levels = 4 # Number of levels of the DWT
self.wavelet = 'bior3.5' # Wavelet Biorthogonal 3.5
self.padding = "periodization" # Signal extension procedure used in
self.slices = self.get_coeffs_slices()
print("intercom_dwt: using wavelet domain \"{}\"".format(self.wavelet))
def init(self, args):
Intercom_empty.init(self, args)
# With wavedec we return an ordered list of coefficients arrays with the level of decomposition
self.coeffs_empty = pywt.wavedec(np.zeros(self.frames_per_chunk),
wavelet='db1',
mode="periodization")
# With coeffs_to_array we get the Wavelet transform coefficient array and a list of slices corresponding to each coefficient,
# we are only using this last part
arr_empty, self.slice_structure = pywt.coeffs_to_array(
self.coeffs_empty)
self._buffer_coeffs = [None] * self.cells_in_buffer
# Auxiliar array wich will be of use later
self.aux_array = np.zeros(
(self.frames_per_chunk, self.number_of_channels), np.int32)
for i in range(self.cells_in_buffer):
self._buffer_coeffs[i] = np.zeros(
(self.frames_per_chunk, self.number_of_channels), np.int32)
def init(self, args):
Intercom_empty.init(self, args)
self.samples = 0
self.packet_format = f"!HBB{self.frames_per_chunk//8}B"
empty_channel = np.zeros(self.frames_per_chunk)
self.coeffs_empty = wt.wavedec(empty_channel,
wavelet=wavelet,
mode=padding)
#self.coeffs_empty = wt.wavedec(empty_channel, wavelet=wavelet, level=levels, mode=padding)
arr_empty, self.slice_structure = wt.coeffs_to_array(self.coeffs_empty)
#self._buffer = [self.generate_zero_chunk()] * self.cells_in_buffer
self._buffer_coeffs = [None] * self.cells_in_buffer
self.max_NOBPTS = 32 * self.number_of_channels
self.NOBPTS = self.max_NOBPTS
self.NORB = self.max_NOBPTS
self.arr_temp = np.zeros(
(self.frames_per_chunk, self.number_of_channels), np.int32)
for i in range(self.cells_in_buffer):
self._buffer_coeffs[i] = self.generate_zero_arr()
def init(self, args):
Intercom_empty.init(self, args)
self.packet_format = f"!HH{self.frames_per_chunk//8}HH"
self.zeros = 0
def init(self, args):
Intercom_empty.init(self, args)