The generator matrix of a \( (6,3) \) binary linear block code is given by
The minimum Hamming distance \( d_{{min}} \) between codewords equals (answer in integer).
Step 1: Form the codewords
The generator matrix \( G \) defines the codewords of the linear block code. The codewords are obtained by multiplying the message vector \( \mathbf{m} \) with the generator matrix \( G \). The message vector \( \mathbf{m} \) has 3 bits (since it is a \( (6,3) \) code), and can be represented as \( \mathbf{m} = [m_1 \, m_2 \, m_3] \). The corresponding codeword \( \mathbf{c} \) is given by: \[ \mathbf{c} = \mathbf{m} G. \] The possible message vectors \( \mathbf{m} \) are all 3-bit combinations, so we calculate the codewords for \( \mathbf{m} = [0 0 0] \), \( \mathbf{m} = [0 0 1] \), \( \mathbf{m} = [0 1 0] \), etc.
Step 2: Compute the codewords
For \( \mathbf{m} = [0 0 0] \): \[ \mathbf{c} = [0 0 0] G = [0 0 0 0 0 0] \] For \( \mathbf{m} = [0 0 1] \): \[ \mathbf{c} = [0 0 1] G = [0 0 1 1 1 0] \] For \( \mathbf{m} = [0 1 0] \): \[ \mathbf{c} = [0 1 0] G = [0 1 0 0 1 1] \] For \( \mathbf{m} = [0 1 1] \): \[ \mathbf{c} = [0 1 1] G = [0 1 1 1 0 1] \] For \( \mathbf{m} = [1 0 0] \): \[ \mathbf{c} = [1 0 0] G = [1 0 0 1 0 1] \] For \( \mathbf{m} = [1 0 1] \): \[ \mathbf{c} = [1 0 1] G = [1 0 1 1 1 0] \] For \( \mathbf{m} = [1 1 0] \): \[ \mathbf{c} = [1 1 0] G = [1 1 0 0 1 0] \] For \( \mathbf{m} = [1 1 1] \): \[ \mathbf{c} = [1 1 1] G = [1 1 1 1 0 1] \]
Step 3: Compute the Hamming distance
The Hamming distance between two codewords is the number of positions at which the corresponding symbols differ. To find \( d_{{min}} \), we need to calculate the pairwise Hamming distances between all codewords: The Hamming distance between codeword \( [0 0 0 0 0 0] \) and all other codewords is:
\( d([0 0 0 0 0 0], [0 0 1 1 1 0]) = 3 \)
\( d([0 0 0 0 0 0], [0 1 0 0 1 1]) = 3 \)
\( d([0 0 0 0 0 0], [0 1 1 1 0 1]) = 4 \)
\( d([0 0 0 0 0 0], [1 0 0 1 0 1]) = 3 \)
\( d([0 0 0 0 0 0], [1 0 1 1 1 0]) = 4 \)
\( d([0 0 0 0 0 0], [1 1 0 0 1 0]) = 4 \)
\( d([0 0 0 0 0 0], [1 1 1 1 0 1]) = 4 \)
Continuing this process for the remaining codewords, the minimum Hamming distance between any pair of codewords is found to be 3. Thus, the minimum Hamming distance \( d_{{min}} = 3 \).
Two resistors are connected in a circuit loop of area 5 m\(^2\), as shown in the figure below. The circuit loop is placed on the \( x-y \) plane. When a time-varying magnetic flux, with flux-density \( B(t) = 0.5t \) (in Tesla), is applied along the positive \( z \)-axis, the magnitude of current \( I \) (in Amperes, rounded off to two decimal places) in the loop is (answer in Amperes).
A 50 \(\Omega\) lossless transmission line is terminated with a load \( Z_L = (50 - j75) \, \Omega.\) { If the average incident power on the line is 10 mW, then the average power delivered to the load
(in mW, rounded off to one decimal place) is} _________.
In the circuit shown below, the AND gate has a propagation delay of 1 ns. The edge-triggered flip-flops have a set-up time of 2 ns, a hold-time of 0 ns, and a clock-to-Q delay of 2 ns. The maximum clock frequency (in MHz, rounded off to the nearest integer) such that there are no setup violations is (answer in MHz).
The diode in the circuit shown below is ideal. The input voltage (in Volts) is given by \[ V_I = 10 \sin(100\pi t), \quad {where time} \, t \, {is in seconds.} \] The time duration (in ms, rounded off to two decimal places) for which the diode is forward biased during one period of the input is (answer in ms).