Lectures related to Julian day

Covers the functional equation of the Zeta function and the Hadamard factorization theorem.

Covers the estimation of R using bivariate normal distributions and explores the marginal and conditional distributions of X₁ and X₂.

Explores Poisson processes, Pickands' function, and multivariate angular densities.

Covers the fundamentals of Orthogonal Frequency Division Multiplexing (OFDM) in wireless communication systems.

Covers the estimation of R, including the continuity theorem and limit laws for random variables.

Covers the analysis and understanding of heterogeneous reactions and reaction kinetics.

Explores dynamic programming for optimizing decision-making processes over time, using real-world examples like oil extraction and stock trading.

Covers the (s,s)-inventory model, stationary Markov chains, time reversal property, and detailed balance condition.

Introduces quantum mechanics, covering S-matrix, scattering amplitudes, and optical theorem.

Covers the introduction of scattering amplitude, optical theorem, and unitary operators in quantum mechanics.

Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.

Explores coincidence lattice, homophase interfaces, twin boundaries, stacking faults, and segregation at domain boundaries.

Explores the Central Limit Theorem and its statistical implications in random variables.

Covers the exponential family of distributions and the Ising model, explaining magnetism through dipoles and spins.

Explores symmetric tilt grain boundaries, twist grain boundaries, and the atomistic view of tilt grain boundaries.

Explores NISQ devices and IBM Q, covering noisy quantum circuits, qubit technologies, and quantum algorithm development.

Explores digitization in neural interfaces, covering MOS models, CMOS amplifiers, noise factors, DC offset, and ADC basics.

Explains classical orbital parameters, spacecraft's state vector, and Gregorian vs. Julian days.

Discusses the circuit block diagram and design requirements for neural amplifiers.